Fuzzy Enhancement Method for Color Medical Images Based on Color Space Conversion

2013 ◽  
Vol 380-384 ◽  
pp. 3706-3709 ◽  
Author(s):  
Liang Hua ◽  
Zhen Tao Zhou ◽  
Ji Yang ◽  
Hao Feng ◽  
Li Jun Ding ◽  
...  
Keyword(s):  
Set Theory ◽  
Fuzzy Set Theory ◽  
High Speed ◽  
Medical Images ◽  
Color Space ◽  
Transformation Method ◽  
Inverse Transformation ◽  
Color Space Conversion ◽  
Fuzzy Enhancement ◽  
Enhancement Method

A new fuzzy enhancement method is put forward in the paper combining with Young-Helmholtz (Y-H) color space and fuzzy set theory. Color images with RGB tri-channels are transformed into Y-H color space by using Greaves transformation method. The colors image could be decomposed into chromaticity numbers matrix and intensity numbers matrix. The intensity numbers matrix is processed by using fuzzy enhancement arithmetic, while chromaticity numbers matrix keeps invariant. The primary chromaticity numbers matrix and enhanced intensity numbers matrix are processed by using Y-H inverse transformation. The method put forward in the paper have characteristics of efficiency, convenience and high speed. The method can achieve enhancement for color medical images without changing hue and saturation.

Color Medical Image Enhancement Using Y-H Model and Wavelet Homomorphic Filtering

2013 ◽  
Vol 411-414 ◽  
pp. 1020-1024
Author(s):  
Hua Liang ◽  
Zhen Tao Zhou ◽  
Hao Feng ◽  
Li Jun Ding ◽  
Ju Ping Gu ◽  
...  
Keyword(s):  
Image Enhancement ◽  
Medical Image ◽  
Color Image ◽  
Color Space ◽  
Inverse Transformation ◽  
Homomorphic Filtering ◽  
Enhancement Method ◽  
Rgb Color Space ◽  
Medical Image Enhancement

Color medical images are widely used in the field of medical diagnosis. Image enhancement is one of the most important pretreatment methods which can enhance the quality of images. In this paper, a novel color image enhancement method using Y-H model and wavelet homomorhpic filtering is put forward. The chromaticity numbers matrix and intensity numbers matrix of color images are get using Young-Helmholtz (YH) transform. The chromaticity numbers matrix remains unchanged. Wavelet homomorphic filtering method is used to process intensity numbers matrix . The enhanced intensity numbers matrix and formerly chromaticity numbers matrix are processed by Y-H inverse transformation and disply in RGB color space. The method put forward in the paper is successfully used in color medical image enhancement. Experimental results show that the method have characteristics of nondistortion, better visual effect.

Profiling User Color Perception for Image Retrieving

2013 ◽  
pp. 1-29
Author(s):  
Imad El-Zakhem ◽  
Amine Aït-Younes ◽  
Herman Akdag ◽  
Hanna Greige
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Color Space ◽  
Color Perception ◽  
User Profile ◽  
Main Target

The aim of this work is to build a user profile according to his own perception of colors for image retrieving. Images are being processed relying on a standard or initial set of parameters using the fuzzy set theory and the HLS color space (Hue, Lightness, and Saturation). We developed a dynamic construction of the user profile, which will increase his satisfaction by being more personalized and accommodated to his particular needs. We suggest two methods to define the perception and transform it into a profile; the first method is achieved by querying the user and getting answers, which will guide through the process of implementation of the profile; the second method is achieved by comparing different subjects and ending up by an appropriate aggregation. We also present a method that will recalculate the amount of colors in the image based on another set of parameters, so the colorimetric profile of the image is being modified accordingly. Avoiding the repetition of the process at the pixel level is the main target of this phase, because reprocessing each image is time consuming and turned to be not feasible.

scholarly journals A Novel Enhancement Algorithm Combined with Improved Fuzzy Set Theory for Low Illumination Images

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Hai-jiao Yun ◽  
Zhi-yong Wu ◽  
Guan-jun Wang ◽  
Gang Tong ◽  
Hua Yang
Keyword(s):  
Contrast Enhancement ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Dynamic Range ◽  
Color Image ◽  
Color Space ◽  
Local Contrast ◽  
Image Contrast Enhancement ◽  
Low Illumination

A novel enhancement method of global brightness modulation and local contrast enhancement combined with the improved fuzzy set theory is proposed for color image contrast enhancement. The proposed method consists of three stages. Firstly, putting forward nonlinear global brightness mapping model adjusts dynamic range of images for luminance componentVofHSVcolor space. Secondly, membership function is established in stages to adjust local contrast of image details nonlinearly based on fuzzy set theory. Finally, the enhanced images are transformed fromHSVcolor space intoRGBcolor space. The experiments further show that the proposed method has the shortest processing time, the highest AIC values, and the least NIQE values among the other four conventional methods. It has excellent effect, which can enhance the global brightness and local contrast, and advance visibility of low illumination images.

AUTOMATIC DESIGN OF SHIFT-AND-ADD BASED COLOR SPACE CONVERTER USING A GENETIC ALGORITHM

2013 ◽  
Vol 37 (3) ◽  
pp. 959-970
Author(s):  
Ching-Yi Chen ◽  
Ching-Han Chen ◽  
Chih-Hao Ma ◽  
Po-Yi Wu
Keyword(s):  
Genetic Algorithm ◽  
High Speed ◽  
Design Method ◽  
Color Space ◽  
Low Complexity ◽  
Automatic Design ◽  
Low Area ◽  
Color Space Conversion ◽  
Color Conversion ◽  
Novel Design

The main purpose of this paper is to investigate a novel design method using a genetic algorithm (GA) to automatically evolve the multiplierless CSC circuit architecture. In order to demonstrate the effectiveness of the described design method, several test images are adopted respectively to perform RGB to YCbCr color conversion experiment. The experimental results represent that the performance of the implemented hardware architecture is good when carrying out color space conversion from RGB to YCbCr. It also has the advantage of being high-speed, low-complexity, and low-area.

FUZZY VECTOR OBJECTIVE OPTIMIZATION ALGORITHM FOR IMAGE RECONSTRUCTION FROM INCOMPLETE PROJECTIONS

2007 ◽  
Vol 07 (01) ◽  
pp. 55-69
Author(s):  
XIN GAO ◽  
YUANMEI WANG ◽  
CISHEN ZHANG
Keyword(s):  
Image Reconstruction ◽  
Iterative Method ◽  
Set Theory ◽  
Fuzzy Set Theory ◽  
Optimization Problem ◽  
Fuzzy Optimization ◽  
Transformation Method ◽  
Fuzzy Operator ◽  
Incomplete Projections ◽  
Fuzzy Vector

This paper deals with the problem of image reconstruction from incomplete projections. A novel fuzzy vector objective optimization model is developed by integrating the fuzzy set theory and vector objective optimization (multi-objective decision-making). The objective function is expressed as a membership function, and the minimum operator is taken as a fuzzy operator. Furthermore, a novel iterative method is proposed to resolve the fuzzy optimization problem. The images reconstructed from simulated noise projections and real projections obtained from an industrial scanner show that the new algorithm can provide higher resolution and better smoothness than the images reconstructed by the transformation method and the conventional iterative method, so it is more feasible for image reconstruction from incomplete projections.

scholarly journals A Soft Rough-Fuzzy Preference Set-Based Evaluation Method for High-Speed Train Operation Diagrams

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Dingjun Chen ◽  
Shaoquan Ni ◽  
Chang’an Xu ◽  
Hongxia Lv ◽  
Keyun Qin
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
High Speed ◽  
Evaluation Method ◽  
Attribute Reduction ◽  
Track Maintenance ◽  
Study Results ◽  
Train Operation ◽  
Overall Evaluation

This paper proposes a method of high-speed railway train operation diagram evaluation based on preferences of locomotive operation, track maintenance, S & C, vehicles and other railway departments, and customer preferences. The application of rough set-based attribute reduction obtains the important relative indicators by eliminating excessive and redundant evaluation indicators. Soft fuzzy set theory is introduced for the overall evaluation of train operation diagrams. Each expert utilizes a set of indicators during evaluation based on personal preference. In addition, soft fuzzy set theory is applied to integrate the information obtained via expert evaluation in order to obtain an overall evaluation. The proposed method was validated by a case study. Results demonstrate that the proposed method flexibly expresses the subjective judgments of experts while effectively and reasonably handling the uncertainty of information, which is consistent with the judgment process of humans. The proposed method is also applicable to the evaluation of train operation schemes which consist of multiple diagrams.

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